Data Science, AI Compute Strategy, Canada
AMER - Canada - Ontario - Toronto - University Ave
R
CAD 107K-156K Senior-level Full Time
Tasks
- Analyze GPU demand utilization and unit economics to improve infrastructure efficiency
- Build analytical and financial models to quantify AI business impact
- Collaborate with cross-functional stakeholders
- Create business cases and decision ready analysis for AI investment and monetization
- Develop dashboards reporting frameworks and tracking tools for AI adoption and performance
- Develop forecasts for AI adoption usage and revenue influence
- Model GPU economics cloud compute costs and inference economics
- Prepare executive presentations and strategic narrative recommendations
- Translate telemetry and infrastructure usage data into monetization insights
- Work independently in ambiguous environments
Perks/Benefits
Skills/Tech-stack
Analytics | Business Operations | Capacity Planning | Cloud Cost Analysis | Cloud Infrastructure Economics | Cloud infrastructure | Compute Cost Optimization | Cost Optimization | Cost analysis | Cost modeling | Cost to serve | Excel | Financial Modeling | GPU Economics | GPU Utilization | Inference Cost | Inference Cost Modeling | Infrastructure economics | Management Consulting | Model Serving | Monetization strategy | Pricing Strategy | Product Analytics | Python | SQL | SaaS economics | Strategic Planning | Strategic finance | Subscription Analytics | Usage Based Monetization
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Analyst | Business Analyst | Data Analyst | Data Scientist | Scientist
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